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首页> 外文期刊>Environmental toxicology and chemistry >STATISTICAL REPORTING DEFICIENCIES IN ENVIRONMENTAL TOXICOLOGY
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STATISTICAL REPORTING DEFICIENCIES IN ENVIRONMENTAL TOXICOLOGY

机译：环境毒理学的统计报告缺陷

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摘要

Null hypothesis significance testing is one of the most widely used forms of statistical testing in environmental toxicology. In this short communication, the authors show that the reporting of statistical information when using null hypothesis significance testing is frequently inadequate in environmental toxicology research. The authors demonstrate this by analyzing the statistical information reported for papers employing t tests or analyses of variance in the Environmental Toxicology section of Environmental Toxicology and Chemistry in 2010, which comprised 68% of papers published by this journal in that year. Of these papers, 60% fail to report exact p values, 85% fail to provide degrees of freedom, and 90% fail to report critical effect sizes. Statistical power was reported in only <2% of the published papers. The insufficient provision of statistical information makes interpretation of study results by reviewers and readers difficult. Consistently reporting exact p values with degrees of freedom, considering and explicitly stating biologically relevant critical effect sizes, and reporting statistical power associated with nonsignificant results would be easy to implement and would promote scientific progress in environmental toxicology through increased statistical transparency.
机译：空假设重要性检验是环境毒理学中最广泛使用的统计检验形式之一。在这段简短的交流中，作者表明，使用空假设重要性检验时，统计信息的报告在环境毒理学研究中经常不足。作者通过分析2010年《环境毒理学与化学》的环境毒理学部分中使用t检验或方差分析的论文所报告的统计信息，证明了该年该期刊发表论文的68％。在这些论文中，有60％未能报告确切的p值，85％未能提供自由度，而90％未能报告关键效应大小。只有不到2％的已发表论文报道了统计能力。统计信息的不足使评论者和读者难以解释研究结果。一致地以自由度报告确切的p值，考虑并明确说明生物学相关的临界效应大小，以及报告与不重要的结果相关的统计能力将易于实施，并通过增加统计透明度来促进环境毒理学的科学进步。

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  • 来源
    《Environmental toxicology and chemistry》 |2013年第8期|1737-1739|共3页
  • 作者

    Thus Bosker; Joseph F. Mudge; Kelly R. Munkittrick;

  • 作者单位

    Department of Natural Resources and the Environment/Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, Connecticut, USA;

    Department of Biology and Canadian Rivers Institute, University of New Brunswick, Saint John, New Brunswick, Canada;

    Department of Biology and Canadian Rivers Institute, University of New Brunswick, Saint John, New Brunswick, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Statistics; Biostatistics; Experimental design;

    机译：统计;生物统计学;实验设计;

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